This document presents comprehensive historical accounts on the developments of finite
element methods (FEM) since 1941, with a specific emphasis on developments related to …

As the application of lightweight fiber-reinforced composite structures reaches an
unprecedented scale in industry, design technology for composite structures becomes …

The complex spatial micro-and macrostructure layout cause an enormous difference in the
overall performance of composites. Cross-scale optimization is computationally very …

Multiscale computing for heterogeneous materials provides a powerful and fidelity approach
to handling situations where a suitable macroscopic constitutive model is unavailable …

In this work, a Damage-related Adaptive Self-Consistent Clustering Analysis (DASCA)
method is developed to achieve higher solving accuracy for 3D damage problems than Self …

This paper develops a material-structure integrated design and optimization method based
on a multiscale approach for the lightweight design of CFRP car doors. Initially, parametric …

Abstract The High Luminosity Large Hadron Collider (HL-LHC) is one of the large-scale
projects currently being developed at the European Organization for Nuclear Research …

Recent advances in operator learning theory have improved our knowledge about learning
maps between infinite dimensional spaces. However, for large-scale engineering problems …

Virtual clustering analysis (VCA) is an effective data-driven numerical homogenization
method. In its original version (Tang et al. in Comput Mech 62 (6): 1443–1460, 2018), a …

We present a mechanistic data science (MDS) framework capable of building a composite
knowledge database for composite materials design. The MDS framework systematically …